Introduction to artificial intelligence
Introduction to artificial intelligence
New Generation Computing
Intensional updates: abduction via deduction
Logic programming
Belief updating from integrity constraints and queries
Artificial Intelligence
Refining a relational theory with multiple faults in the concept and subconcepts
ML92 Proceedings of the ninth international workshop on Machine learning
Temporal reasoning with abductive event calculus
ECAI '92 Proceedings of the 10th European conference on Artificial intelligence
Interactive theory revision: an inductive logic programming approach
Interactive theory revision: an inductive logic programming approach
Algorithmic Program DeBugging
Learning Logical Definitions from Relations
Machine Learning
Database Updates through Abduction
VLDB '90 Proceedings of the 16th International Conference on Very Large Data Bases
RUTH: an ILP Theory Revision System
ISMIS '94 Proceedings of the 8th International Symposium on Methodologies for Intelligent Systems
Inducing Logic Programs With Genetic Algorithms: The Genetic Logic Programming System
IEEE Expert: Intelligent Systems and Their Applications
Abduction in Logic Programming
Computational Logic: Logic Programming and Beyond, Essays in Honour of Robert A. Kowalski, Part I
Nonmonotonic Inductive Logic Programming
LPNMR '01 Proceedings of the 6th International Conference on Logic Programming and Nonmonotonic Reasoning
Integrating induction and abduction in logic programming
Information Sciences: an International Journal
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Inductive Logic Programming (ILP) is often situated as a research area emerging at the intersection of Machine Learning and Logic Programming (LP). This paper makes the link more clear between ILP and LP, in particular, between ILP and Abductive Logic Programming (ALP), i e, LP extended with abductive reasoning. We formulate a generic framework for handling incomplete knowledge. This framework can be instantiated both to ALP and ILP approaches. By doing so more light is shed on the relationship between abduction and induction. As an example we consider the abductive procedure SLDNFA, and modify it into an inductive procedure which we call SLDNFAI.